UV9102B – General course in Qualitative Research Methodology - part two

Schedule, syllabus and examination date

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Course content

The course in Qualitative Research Methodology gives an introduction to the fundamental principles of qualitative methodology and their applications. The course provides concepts and tools needed to consider the adequacy and suitability of different qualitative research methods relevant in the field of educational sciences. 

The Qualitative Research Methodology course comprises two parts; an introductory part A, which gives an overview of the current main directions in qualitative research and the standards for assessing the quality and credibility of such research, and part B which expands upon this and deals in-depth with qualitative data and forms of analysis. For candidates specializing in quantitative methods it is sufficient to take part A of the course.

Part B draws on the theoretical and methodological concepts of the basic section, and elaborates on these by exploring three main categories of qualitative data in-depth, i.e. interview data, observational data, and documents. This section discusses the relationship between different research problems and kinds of data, as well as contrasting different qualitative analytical approaches.  

Learning outcome

Upon completion of part B, students are to have acquired an understanding of different strategies for the collection of qualitative data, and the analysis of such data. They will be able to evaluate strengths and weaknesses of specific methods.

Admission

PhD candidates at the Faculty of Educational Sciences will be given priority, but it is also possible for others to apply for the course. Applicants must have at least a Master's degree.

Candidates admitted to the PhD programme at the Faculty of Educational Sciences should apply through Studentweb 

Other applicants may apply using this application form

The course registration opens December 3, 2019.

Prerequisites

Formal prerequisite knowledge

Participation in part A is required for participation in part B.

Teaching

The course is based on lectures and seminars. Active contributions from the students in the form of discussion and short presentations are expected. 

Students will be asked to present an outline of their own research design and types of data, and give/receive comments to/from one fellow student on their presentation. 

Time: February 5-6, 2020

Place: University of Oslo, Helga Engs hus, Seminar room TBA

You will find the timetable and literature on the semester webpage for this course.

Examination

Part A + Part B:

5 credit points for course participation (80% attendance is required) and approved paper (5000 words).

The paper should be a critical analysis of an assigned scientific work. In addition to discussing the quality and validity of the assigned work, the paper must discuss the data collection procedures and the analytical strategies used in the study.

Students who do not submit a paper will be rewarded 1 credit point even if they fulfil the attendance requirements for part A and part B.

Papers are to be submitted electronically in Canvas.

Deadline for paper submission is TBA.

Grading scale

Grades are awarded on a pass/fail scale. Read more about the grading system.

Facts about this course

Credits

2

Level

PhD

Teaching

Every spring

Teaching language

English